Intro
Preface
Organization
Contents
Part I
Contents
Part II
Contents
Part III
Object Detection and Recognition
L2-CVAEGAN: Feature Aligned Generative Networks for Zero-Shot Learning
1 Introduction
2 Related Work
2.1 Zero-Shot Learning
2.2 Generative Models
3 Methodology
3.1 Setup
3.2 Model Overview
3.3 Our Proposed Method
3.4 Evaluation Protocol
4 Experiments
4.1 Settings
4.2 Comparing with Different Methods
4.3 Visualization and Analyzing
4.4 Generalized Zero-Shot Learning
4.5 Effect of Semantic Combination

5 Conclusion
References
HQ-Trans: A High-Quality Screening Based Image Translation Framework for Unsupervised Cross-Domain Pedestrian Detection
1 Introduction
2 Related Work
2.1 Image Translation
2.2 Object Detection
2.3 Unsupervised Pedestrian Detection
3 Method
3.1 The First Screening
3.2 Scene Translation
3.3 The Second Screening
3.4 Pedestrian Detector
4 Experiments
4.1 Experiment Settings
4.2 Experimental Results and Analysis
4.3 Comparisons with Other Works
5 Conclusion
References

FER-YOLO: Detection and Classification Based on Facial Expressions
1 Introduction
2 Methodology
2.1 Model Architecture
2.2 Channel Attention
2.3 Depth-Wise Separable Convolution
3 Experimental Results and Analysis
3.1 Implementation Details
3.2 Ablation Experiments
3.3 Comparisons with State-of the Art Methods
3.4 Real-Time Facial Expression Detection via Camera
4 Conclusion
References
MSC-Fuse: An Unsupervised Multi-scale Convolutional Fusion Framework for Infrared and Visible Image
1 Introduction
2 Proposed Fusion Method
2.1 Network Architecture

2.2 The Basic Convolution Blocks
2.3 Loss Function
3 Experimental Results
3.1 Experimental Environment and Parameter Setting
3.2 Ablation Study
3.3 Compared with Other Methods
4 Conclusions
References
Relation-Aware Reasoning with Graph Convolutional Network
1 Introduction
2 Related Works
2.1 Knowledge Graph Based Methods
2.2 Relational Reasoning
3 Proposed Framework
3.1 Knowledge Graph Construction
3.2 GCN for Visual Reasoning
3.3 Implementation Details
4 Experiments
4.1 Datasets and Evaluation
4.2 Experimental Results

4.3 Ablation Study
5 Conclusion
References
Feature Separation GAN for Cross View Gait Recognition
1 Introduction
2 Related Work
2.1 Generative Adversarial Networks
2.2 Generative Method for Gait Recognition
2.3 Gait Energy Image
3 Proposed Method
3.1 Network Structure
3.2 Separation Features
3.3 Constraint Block
3.4 Generator Optimizing
4 Experiment Result
4.1 Data Set
4.2 Implementation Details
4.3 Experimental Result
5 Conclusion
References
Global Feature Polishing Network for Glass-Like Object Detection
1 Introduction
2 Related Work